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Do Publicly-Subsidized Economic Development Projects Increase the Economic Growth in Their Neighborhoods? 1 2 By Amira Alghumgham Howard University November 2017 I. Introduction Over the past two decades, the District of Columbia has experienced robust growth in residential and commercial development, population and employment. Underlying this growth is the city’s continuous and aggressive effort to spur and facilitate new economic development projects that not only cater to the city’s corporate and monied interests, but also to improve and enhance the economics of local neighborhoods and social well-being of their citizens. State and local government investment in neighborhoods is viewed by many as an economic development tool that helps foster and enhance economic growth in such neighborhoods. (Fisher, 1997; Lynch, 2004) However, some say direct public subsidies to private sector developers and commercial landowners simply divert important and limited public resources from directly helping vulnerable and low-income residents while producing dubious net social and economic benefits to area residents and taxpayers. (Coates and Humphreys, 2001) Critics of public subsidies to private sector developments also say that such arrangements permit developers to unnecessarily reduce both their risks and own resources invested in these projects largely to increase their net private investment returns of such projects. (Vrooman, 2012) One possible reason why there tends to be a dearth of incontrovertible empirical evidence of significant economic benefits of state and local public investment in neighborhoods is that consistent and reliable data are not often widely available for economic analysis on the neighborhood level. To help determine if the District of Columbia government has invested its public funds into city economic development ventures that improve and enhance the economics of local neighborhoods, this study conducts an economic analysis on the neighborhood level of three large economic development projects in the city that was subsidized by the city government. The objective is to assess if these projects indeed resulted in economic growth in their respective neighborhood. This neighborhood economic study uses parcel level administrative property tax 1 This paper is an extension of research my colleague, Shenmin Liu of The University of Chicago – Harris School of Public Policy Studies, and I initially completed in 2015. 2 I would like to thank Fitzroy Lee, Daniel Muhammad, Yi Geng, Fahad Fahimullah and Charlotte Otabor for their technical assistance, suggestions and support with this research.
Transcript
Page 1: Economic Development Projects and Economic Growth in Their ...

Do Publicly-Subsidized Economic Development Projects

Increase the Economic Growth in Their Neighborhoods?1 2

By Amira Alghumgham

Howard University

November 2017

I. Introduction

Over the past two decades, the District of Columbia has experienced robust growth in

residential and commercial development, population and employment. Underlying this growth is

the city’s continuous and aggressive effort to spur and facilitate new economic development

projects that not only cater to the city’s corporate and monied interests, but also to improve and

enhance the economics of local neighborhoods and social well-being of their citizens.

State and local government investment in neighborhoods is viewed by many as an economic

development tool that helps foster and enhance economic growth in such neighborhoods. (Fisher,

1997; Lynch, 2004) However, some say direct public subsidies to private sector developers and

commercial landowners simply divert important and limited public resources from directly helping

vulnerable and low-income residents while producing dubious net social and economic benefits to

area residents and taxpayers. (Coates and Humphreys, 2001) Critics of public subsidies to private

sector developments also say that such arrangements permit developers to unnecessarily reduce

both their risks and own resources invested in these projects largely to increase their net private

investment returns of such projects. (Vrooman, 2012)

One possible reason why there tends to be a dearth of incontrovertible empirical evidence of

significant economic benefits of state and local public investment in neighborhoods is that

consistent and reliable data are not often widely available for economic analysis on the

neighborhood level. To help determine if the District of Columbia government has invested its

public funds into city economic development ventures that improve and enhance the economics of

local neighborhoods, this study conducts an economic analysis on the neighborhood level of three

large economic development projects in the city that was subsidized by the city government. The

objective is to assess if these projects indeed resulted in economic growth in their respective

neighborhood. This neighborhood economic study uses parcel level administrative property tax

1 This paper is an extension of research my colleague, Shenmin Liu of The University of Chicago – Harris School of Public Policy Studies, and I initially completed in 2015. 2 I would like to thank Fitzroy Lee, Daniel Muhammad, Yi Geng, Fahad Fahimullah and Charlotte Otabor for their technical assistance, suggestions and support with this research.

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2

data and administrative city income tax filer data. The data are used to assess whether the three

projects significantly increased the household income of residents and residential property values

of the immediate area surrounding the three projects (i.e. the three treatment groups) after

construction more than the income and property values of nearby respective control groups. Unlike

some studies that base broad and equivocal conclusions of neighborhood economic growth on one

development project and/or one economic indicator and/or imprecise survey data (Koster and

Rouwendal, 2010; Seago, 2013), this study draws conclusions using a difference-in-difference

regression methodology and micro-level administrative data for every resident and residential

property in the target neighborhoods using.

Even though this study finds that there are mixed results for the neighborhoods that contains

the DC USA and Gallery Place projects, the results tend to suggest that the household income and

residential property values for these two neighborhoods are higher because of these two projects.

For the city’s Nationals Park Stadium project, however, the results unequivocally indicate that

household income and residential property values in this neighborhood are higher because of the

project. This study suggests a few possible reasons why public investment in some economic

development projects may produce mixed results while others may produce incontrovertible

evidence on the neighborhood level.

II. The Three Projects

Like in other cities, the District of Columbia city government aggressively and continuously

pursues policies and programs that create strong neighborhoods, expand and diversify the local

economy, and provide residents with pathways to the middle class. The question asked by many

is whether the funds that the city government invest in private-sector development projects produce

tangible economic growth realized by residents in respective neighborhoods. To answer this

question, we select three very large publicly subsidized projects in the city and subject them to

economic analysis and statistical hypothesis testing.

The first economic development project is called DC USA. It is an 890,000-square-foot retail

development in the Columbia Heights neighborhood of the city. It is anchored by a Target retail

store as well as a Bed Bath & Beyond, Best Buy, Staples, Marshalls, Five Below, Modell’s and

Petco. The project is a $150 million pedestrian-oriented retail complex with a 1,000 car below-

grade parking facility. City government subsidies in the form of tax exempt bonds totaling $47

were issued for this project. Project construction started in 2002 and was completed in 2008.

The second project is the building of the Nationals Park Stadium. It is a 41,487-seat Major

League Baseball ballpark that features 79 suites on three levels with estimated cost of $691 million.

It is located at the southern part of city in a neighborhood called Old City 1. The city contributed

$663 million, paying $135.5 million upfront and borrowing another $534.8 million. Construction

started in 2006 and completed in 2008.

The third project in this analysis is Gallery Place. It is in the Chinatown section of the city and

is a 660,000 square foot mixed-use urban entertainment complex including residential units,

parking spaces, and office space. Approximately one-third of the square footage of the project is

devoted to commercial office space, retail, and residential use, respectively. Construction started

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3

in 1999 and was completed in 2004 with a cost of $274 million. In 2002, the District issued $83.3

million in TIF bonds to fund the Project that carry an AAA rating. Figure 1 shows the three city

neighborhoods under analysis in terms of the city census tracts. The Columbia Heights

neighborhood contains the DC USA project, the Chinatown neighborhood contains the Gallery

Place project and the Old City 1 neighborhood contains the Nationals Park Stadium.

Figure 1 The Three Treatment Neighborhoods in the District of Columbia

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III. Data

This study uses administrative city individual income tax (IIT) data and administrative city

residential property tax data(PT). From the IIT data, annual income (federal adjusted gross income)

for single filers will be used as a measure of household income. From the PT data, annual

residential home values will be used as a measure of a property value. Either these nor comparable

data are not available prior year 2002.

For each of the three projects, a panel of data is constructed to measure the effect of the

economic development project. This entails comparing the income data and the residential

property data for the census tracts containing the project (treatment area) and comparison census

tracts within the same neighborhood (control area). The panel contains IIT and PT data for years

2002 to 2015 which covers the pre-development period and the post-development period for each

of the three projects. The pre-development period for both the DC USA and Gallery Place projects

was 2002 to 2004, and the pre-development period for the Nationals Park Stadium was 2002 to

2006. This study investigated whether there was a statistically significant effect of the DC USA

and Gallery Place projects on the economic growth of their treatment areas (census tracts) during

years 2005 to 2015 and of the Nationals Park Stadium on the economic growth of its treatment

area (census tract) during years 2007 to 2015. The data for all income and property values are

adjusted for inflation and are in 2015 dollars.

Income data for only single filers was used because they are the largest share and most

dynamic sector of the city’s population and income tax data base.3 Only the residential property

sector is analyzed because it, too (in response to population growth, in-migration of new residents

and gentrification), is the most dynamic and fastest growing sector of the city’s property market.

For the DC USA project in the Columbia Heights neighborhood, only small multifamily properties

(containing 6 or less housing units) were included in the panel data because this property type was

the most common in the treatment and control census tracts and in the pre-development and post-

development time periods. For Nationals Park Stadium in the Old City 1 neighborhood, only

single-family homes were included in the panel data because this property type was the most

common in the treatment and control census tracts and in the pre-development and post-

development time periods. For Gallery Place in the Chinatown neighborhood, only large

multifamily buildings (containing more than 6 housing units) were included in the panel data

because this property type was the most common in the treatment and control census tracts and in

the pre-development and post-development time periods.

The treatment areas (census tracts) contains the economic development projects while control

areas are comparable census tracts in the same neighborhood as the projects. The control census

tracts were selected based on the similarity of growth rates in the pre-development period for

residential property (for the property regressions) and for household income (for the income

regressions). The income regressions only consider the federal adjusted gross income of single

filers in respective census tracts, and the property regressions only consider residential assessment

values also in respective census tracts. The effects for each project will be assessed in terms of the

3 In 2002, 55 percent of all individual income tax filers in the District of Columbia were single filers. And in 2015, 63 percent of

all income tax filers in the city were single filers.

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growth rates in the treatment area’s residential property and household income growth rates

compared to the residential property and household income growth rates of nearby control groups.

IV. Methodology

A difference-in-differences method is used to see if there is any difference in growth between the

treatment census tracts and the control census tracts for each project.

𝑦𝑖𝑠𝑡 = 𝛽0 + 𝜆𝑡𝑇 + 𝛾𝑠𝑆 + 𝛿(𝑇 ∗ 𝑆) + 𝜖𝑖𝑠𝑡

Where

- 𝑦𝑖𝑠𝑡 is the dependent variable for census block 𝑖, given neighborhood 𝑆 and time 𝑇; - S = 1 for the neighborhood with investment, and = 0 otherwise; - T = 1 for the period after investment, and = 0 otherwise;

- 𝛾𝑠 and 𝜆𝑡 are then the coefficients for 𝑆 and 𝑇 respectively.

- (𝑇 ∗ 𝑆) is a dummy variable indicating treatment (investment) and time status, 𝛿 is the treatment

effect, or the difference in difference, and

- 𝜖𝑖𝑠𝑡 is an error term.

• The difference in differences estimator for 𝛿 is given by:

𝛿 = (�̅�𝑝2 − �̅�𝑝1) − (�̅�𝑠2 − �̅�𝑠1) = (�̅�𝑝2 − �̅�𝑠2) − (�̅�𝑝1 − �̅�𝑠1)

– �̅�𝑝2 = the average tax/assessed value growth rate after investment for neighborhood

with investment.

Figure 2 The Theoretical Framework

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The difference-in-difference model estimates the difference in the treatment area under the policy

intervention compared to a similar area absent the intervention.

Using the underlying regression model to estimate the difference-in-differences is

(1) 𝑌𝑖𝑠𝑡 = 𝛽0 + 𝛽1𝑇𝑖𝑠 + 𝛽2𝑆𝑖𝑡 + 𝛽3(𝑇𝑖𝑠 ∗ 𝑆𝑖𝑡) + 𝜖𝑖𝑠𝑡

Where:

- 𝑌𝑖𝑠𝑡 is the dependent variable for income or property value in census tracts or squares 𝑖,

respectively in a given neighborhood 𝑆𝑖𝑡 and time 𝑇𝑖𝑠 .

- 𝛽0 Is the intercept.

(2) 𝑆𝑖𝑡 = {1 𝑖𝑓 the census tract or squares is with investment (treatment)

0 𝑖𝑓 the census tract or squares is without investment (control)

(3) 𝑇𝑖𝑠 = {1 𝑖𝑓 𝑡𝑖𝑚𝑒 𝑖𝑠 𝑝𝑜𝑠𝑡 − 𝑑𝑒𝑣𝑒𝑙𝑜𝑝𝑚𝑒𝑛𝑡 𝑝𝑒𝑟𝑖𝑜𝑑0 𝑖𝑓 𝑡𝑖𝑚𝑒 𝑖𝑠 𝑝𝑟𝑒 − 𝑑𝑒𝑣𝑒𝑙𝑜𝑝𝑚𝑒𝑛𝑡 𝑝𝑒𝑟𝑖𝑜𝑑

.

- 𝛽1 𝑎𝑛𝑑 𝛽2, are the coefficients for 𝑆𝑖𝑡 and 𝑇𝑖𝑠 respectively.

- (𝑇𝑖𝑠 ∗ 𝑆𝑖𝑡) is a dummy variable indicating the interaction between treatment (investment)

and time status, 𝛽3 is the treatment effect, or the difference-in-difference, and

- 𝜖𝑖𝑠𝑡 = error term.

• The difference-in-differences estimator for 𝛽3 is given by:

𝛽3̂ = (�̅�𝑇2 − �̅�𝑇1) − (�̅�𝑠2 − �̅�𝑠1) = (�̅�𝑇2 − �̅�𝑠2) − (�̅�𝑇1 − �̅�𝑠1)

It captures the interaction between 𝑇𝑖𝑠 𝑎𝑛𝑑 𝑆𝑖𝑡 variables, where, �̅�𝑇1, �̅�𝑇2, �̅�𝑆1, and �̅�𝑆2 are the

estimated mean change in time and treatment in each neighborhood.

There are seven steps to quantifying the impact of an economic development project on

the treatment area in relation to income and property value. The first step requires

calculating�̅�𝑡𝑟𝑡,𝐵𝑒𝑓𝑜𝑟𝑒, the average of the response variable of individual income for the treatment

area prior to establishing the development project. In this case, 𝑆𝑖𝑡 = 1, 𝑇𝑖𝑠 = 0 and the product

of these two terms are equal to 0. Regarding equation 1,

(4) �̅�𝑡𝑟𝑡, 𝐵𝑒𝑓𝑜𝑟𝑒 = 𝐸(𝑌𝑖𝑠𝑡\ 𝑆𝑖𝑡 = 1, 𝑇𝑖𝑠 = 0) = 𝛽0 + 𝛽2.

The second step requires calculating the average of the individual income for the control

area, �̅�𝑐𝑛𝑡, 𝐵𝑒𝑓𝑜𝑟𝑒 for the time period before development investment in the treatment area.

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(5) �̅�𝑐𝑛𝑡, 𝐵𝑒𝑓𝑜𝑟𝑒 = 𝐸(𝑌𝑖𝑠𝑡\ 𝑆𝑖𝑡 = 0, 𝑇𝑖𝑠 = 0) = 𝛽0.

The third step is calculating the difference between the two averages:

(6) 𝐷1 = �̅�𝑡𝑟𝑡, 𝐵𝑒𝑓𝑜𝑟𝑒 − �̅�𝑐𝑛𝑡, 𝐵𝑒𝑓𝑜𝑟𝑒 = 𝛽0 + 𝛽2 − 𝛽0 = 𝛽2.

Here, 𝐷1 measures the average response of individual income to the treatment and the control

area variables due to confounding factors.

The remaining steps involve the time period after the project completion.

(7) �̅�𝑡𝑟𝑡, 𝐴𝑓𝑡𝑒𝑟 = 𝐸(𝑌𝑖𝑠𝑡\ 𝑆𝑖𝑡 = 1, 𝑇𝑖𝑠 = 1) = 𝛽0 + 𝛽1 + 𝛽2 + 𝛽3

Equation (7) calculates�̅�𝑡𝑟𝑡, 𝐴𝑓𝑡𝑒𝑟, the average response of individual income/ property value

after the investment in the development projects, in this case𝑆𝑖𝑡 = 𝑇𝑖𝑠 = 1.

The following step is the average response in the control census tracts/squares, 𝑆𝑐𝑛𝑡, for

the time period after treatment in census tracts/squares,𝑆𝑡𝑟𝑡, economic development project

completed. It is calculated as

(8) �̅�𝑐𝑛𝑡, 𝐴𝑓𝑡𝑒𝑟 = 𝐸(𝑌𝑖𝑠𝑡\ 𝑆𝑐𝑛𝑡 = 0, 𝑇𝑖𝑠 = 1) = 𝛽0 + 𝛽1

The next step calculates the difference between the averages of the response individual income/

property value of 𝑆𝑡𝑟𝑡 and 𝑆𝑐𝑛𝑡 for the period of time after 𝑆𝑡𝑟𝑡 completion of projects, so

(9) 𝐷2 = �̅�𝑡𝑟𝑡, 𝐴𝑓𝑡𝑒𝑟 − �̅�𝑐𝑛𝑡, 𝐴𝑓𝑡𝑒𝑟 = ( 𝛽0 + 𝛽1 + 𝛽2 + 𝛽3) − (𝛽0 + 𝛽1) = 𝛽2 + 𝛽3.

The difference between the two means, 𝐷2, is due to the passage of time after investing public

money in the treatment areas. The last step derives from the differences-in-differences. The

estimate of DD is equal to the difference between 𝐷2 and 𝐷1 or

(10) 𝐷𝐷 = 𝐷2 − 𝐷1 = 𝛽2 + 𝛽3 − 𝛽2 = 𝛽3

By assuming the other factors that caused 𝐷1, the difference between the mean response of

individual income/property value in the treatment and control areas prior to the treatment area

passing its investment in the project are constant and these same other factors are present after the

treatment area enacted its project. Subtracting 𝐷1 from 𝐷2 nets out the effect of the other factors

that are assumed to be held constant across the two separate time periods. Given this assumption,

DD quantifies the effect of that treatment had in the development projects on the change in the

dependent variable (property value /or individual income). In this case, the regression estimates

of 𝛽3 is the differences-in-differences estimate.

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V. Results

Residential Property Value

The impact of the economic development projects on the residential property value in the

treatment census tracts in the post period compared to the control census tracts are presented below.

Table 1 Residential Property Value Growth

Parameter Estimates (Property data-set)

Neighborhood/Project Interaction Term t-Value 𝐏𝐫 > |𝒕| 𝐏𝐫 > 𝐅 R2

Columbia Heights (DC USA) 82,472

(14,803)

4.84 <.0001 <.0001 0.7834

Chinatown (Gallery Place) -24,596,831

(7,454,037)

-3.30 <.0023 <.0001 0.4294

Old City 1 (Nationals Stadium) 87,680

(10,959)

8.00 <.0001 <.0001 0.6754

Table 1 shows that census tracts containing the DC USA and the Nationals Park Stadium

projects had a positive coefficient for the interaction terms, and they were statistically significant

with p-values <.0001. The coefficient for the interaction terms indicate that the property

assessment values for small multifamily buildings in the treatment census tract in Columbia

Heights and single-family homes in the treatment census tract in Old City 1 grew faster than the

same property types in the comparison control census tracts. More specifically, the residential

property values in these two treatment census tracts were on average more than $80,000 higher

than the same type of properties in the control census tracts. This means that the DC USA and the

Nationals Park Stadium projects appear to have contributed to those treatment census tracts having

a higher growth rate for residential property values than their respective control census tracts.

However, the Gallery Place regression had a negative coefficient for its interaction term with a p-

value <.0023. This means that even though the property assessment values of large multifamily

buildings in both the treatment and control census tracts in Chinatown still grew in value in the

post-development period compared to the pre-development period, the property assessment values

of large multifamily buildings in the treatment census tract were $25 million lower in assessment

value on average than large multifamily buildings in the control census tract. It appears that either

Gallery Place negatively impacted the growth rate of residential property values in its census tract

relative to its control census tract or residential property assessment values simply grew

significantly faster in the control census tract. But in sum, it appears Gallery place did not help

accelerate residential property growth in its census tract like the other two projects did for their

respective census tracts.

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Household Income Values

Table 2 shows that census tracts containing the DC USA, Gallery Place and the Nationals

Park Stadium projects all had positive coefficients for their interaction terms and they were

statistically significant with p-values <.0001. This means that residents’ income in all treatment

and control groups grew in the post- development period, but total income for single filer residents

in all three treatment groups grew faster than their comparable control groups. The average single

filer in the DC USA census tract had income that was almost $5,000 higher than its peer in the

comparison census tract. And, single filer residents in the Gallery Place census tract had income

that was $44,000 higher, on average, than its comparison census tract. Overall, all three projects

appear to have contributed to those treatment census tracts having a higher household income

growth post-development than their respective control census tracts.

Table 2 Income Growth

Parameter Estimates (Income dataset)

Neighborhood/Project Interaction t-Value 𝐏𝐫 > |𝒕| 𝐏𝐫 > 𝐅 R2

Columbia Heights (DC USA) 4,742

(826.23)

5.27 <.0001 <.0001 0.5497

Chinatown (Gallery Place) 43,742

(530.09)

82.52 <.0001 <.0001 0.7353

Old City 1 (Nationals Stadium) 17,642

(446.74)

39.49 <.0001 <.0001 0.6820

The results in Table 2 suggest that the three projects under investigation significantly

contributed to income growth in the treatment census tracts. Upon further data analysis, this

appears to have been accomplished by attracting more residents with mean incomes that range

from $43,000 to $110,000 to the treatment census tracts after the projects were constructed. It

appears that the advent of all three projects contributed to new residents and existing city residents,

in large degrees, to choose to reside near these high profile economic development projects. The

results indicate that the highest income single residents tended to locate in the city’s core CBD,

the Gallery Place census tract.

From the residential property perspective, however, the treatment census tracts experienced

higher property value growth rates only for the DC USA and Nationals Park Stadium census tracts.

The residential property value for the Gallery Place area did not grow faster than its comparable

control group. This result may be related to the fact that Gallery Place is in the city’s core central

business district where residential development is not common. Unlike almost everywhere in the

city, residential development in the city’s core central business district (CBD) is not prevalent.

Taxable land use in the CBD is by and large devoted to large commercial office properties. And

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since it is the city’s most expensive real estate, devoting a large share of Gallery Place’s total

square footage (approximately 30 percent) to residential development may not have been highest

and best use of that land. That is, devoting that land to residential use appears to have lowered the

growth rate of total property assessment value of the census tract containing the Gallery Place

project.4 Or, the control census tract simply experienced more residential development than in the

treatment census tract, given that residential development in the treatment tract is limited by the

preponderance of commercial office buildings in that area. Upon closer inspection of the

underlying data, the mean income in the Gallery Place census tract increased 82 percent in the post

period, while the mean income in the control census tract increased only 47 percent in the post

period. But, the number of single filers in the treatment tract increased from 595 to 982 (387 or 65

percent), while the number of single filers in the control tract increased from 477 to 1,154 (677 or

142 percent). This means that the highest income new single residents gravitated to the Gallery

Place census tract, but there were actually more new residents (with slightly lower average

incomes) that moved into the control census tract than the treatment census tract.

Robustness check

The above results indicate that each difference-in-difference regression had a statistically

significant coefficient for the interaction terms and nearly all of them were positive. But one may

argue that the above results could be significantly impacted from the selection of census tracts that

served as control groups for each of the projects. In other words, there might have been some form

of selection bias in selecting the control groups. For that reason, as a robustness check, this section

conducts the same regression analysis (same treatment groups) but with different control groups

in the respective neighborhoods. But because data was not available to identify an additional

control group for the Gallery Place project in the Chinatown neighborhood, we were only able to

do a robustness check for the DC USA and Nationals Park Stadium projects.

From the residential property perspective, Table 3 shows that census tracts containing the

Gallery Place and the Nationals Park Stadium projects both had positive coefficients for their

interaction terms and they were statistically significant with p-values <.0001. Thus, while income

grew in all treatment and control census tract in the post period, income grew faster in the treatment

census tracts such that single filers in the treatment census tracts had income that was on average

over $137,000 higher than their peers in the control census tracts.

4 Gallery Place is a 660,000 square foot development of which approximately one-third of the area is devoted to commercial

office space, one-third is devoted to retail, and one-third is devoted to residential use.

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Property Value

Table 3: Residential Property Value Growth

Parameter Estimates (Property data-set)

Neighborhood/Project Interaction t-Value 𝐏𝐫 > |𝒕| 𝐏𝐫 > 𝐅 R2

Columbia Heights (DC USA) 151,380

(37,232)

4.07 <.0001 <.0001 0.7112

Old City 1 (Nationals Stadium) 137,116

(8,349.23)

16.42 <.0001 <.0001 0.7863

Household Income Values

From the income perspective, Table 4 shows that census tracts containing the Nationals

Park Stadium project both had a positive coefficient for its interaction terms and was statistically

significant with p-values <.0001. But, the census tracts containing DC USA had a negative

coefficient for its interaction terms and was statistically significant with p-values <.0001.

Table 4 Income Growth

Parameter Estimates (Income dataset)

Neighborhood/Project Interaction t-Value 𝐏𝐫 > |𝒕| 𝐏𝐫 > 𝐅 R2

Columbia Heights (DC USA) -15,737

(538.184)

-29.24 <.0001 <.0001 0.6099

Old City 1 (Nationals Stadium) 16,305

(462.368)

35.26 <.0001 <.0001 0.7367

Table 4 shows that the Nationals Stadium results confirm our previous findings indicating

the household income in the treatment census tracts grew faster than the second control group.

But, the household income in the Columbia Heights treatment census tracts grew slower than the

second control census tracts. Evidently, the slower growth in Columbia Heights treatment group

compared to the second control group is due to sensitivity of the selection of control census tracts.

Since Columbia Heights is a well-established neighborhood known for continuously attracting

many new and existing city residents as a place of residence, a closer analysis of the underlying

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data suggests that many singles continued to not only choose to live immediately near the DC USA

project (in the treatment census tracts), but a slightly higher number of high-income residents

chose, post-construction, to also live in the nearby second control census tracts. This suggests that

available housing units in the DC USA census tract was limited such that the usual in-migrants

into Columbia Heights could only find available housing slightly farther away from the

neighborhood’s commercial core (i.e. immediately near DC USA). And, the boost of these new

residents in the second control census tracts gave a significant boost to the household income in

that census tracts. On a percentage basis, the household income in the second control group grew

faster than the treatment census tracts.

Table 5 Summary of Model Results

Effect of Projects on

Neighborhood Household

Income

Neighborhood Residential

Property

Initial Regressions Columbia Heights (DC USA) Increase Increase

Chinatown (Gallery Place) Increase Decrease Old City 1 (Nationals Stadium) Increase Increase

Second Regressions (Second Control Group) Columbia Heights (DC USA) Decrease Increase

Chinatown (Gallery Place) N/A N/A

Old City 1 (Nationals Stadium) Increase Increase

The model results are illustrated in Figures 3 through 6 in the context of mean neighborhood

incomes. In Figure 3, the mean income for the treatment census tract containing DC USA grew

80.2 percent between years 2005 and 2015. But, the mean income for single filers in the first

control census tract did not grow as fast while the income in the second control did grow faster.

For Gallery Place, income in the treatment census tract also grew faster than its control census

tract. Household income in both neighborhoods grew faster than the citywide average of 31.9

percent between years 2005 and 2015.

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Figure 3

When we look Figure 4, the net in-migration of new single tax filers into the DC USA and

Gallery Place treatment census tracts was at a slower rate that its two comparison census tracts.

Again, it may be that available housing units in the treatment census tracts were limited such that

new in-migrant residents were forced to live in census tracts away from the neighborhood’s

commercial enter while still choosing the neighborhood (possibly like Gallery Place).

Figure 4

In Figure 5, the mean income for the treatment census tract containing National Park Stadium

grew 51.3 percent between years 2007 and 2015. But, the mean income for single filers in the

two control census tracts did not grow as fast, albeit that the income growth in both control

census tracts was faster the citywide income growth over the same time period. In the Old City 1

neighborhood, Figure 6 clearly shows that the census tract containing the stadium was the major

attraction for new residents to the neighborhood. The nearly 700 percent increase in new

residents in the Stadium census tract is likely the basis of the unambivalent regression results.

Upon closer data analysis of the income tax data, the two control census tracts appear to be more

80.2%57.7%

162.3%

81.9%

47.4% 31.9%

0.0%

40.0%

80.0%

120.0%

160.0%

200.0%

Treatment C1 C2 Treatment C1

DC USA Gallery Place Entire City

Percent Change in Mean IncomeDC USA & Gallery Place

2005-2015

108.3%

139.8%

177.8%

64.8%

141.9%115.4%

0.0%

40.0%

80.0%

120.0%

160.0%

200.0%

Treatment C1 C2 Treatment C1

DC USA Gallery Place Entire City

Percent Change in Single FilersDC USA & Gallery Place

2005-2015

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14

stable and established residential areas in the Old City 1 neighborhood and did not attract new

residents in the same way the treatment census tract did. A key reason for this finding may be

that, unlike DC USA and Gallery Place which were basically infill developments,5 the Nationals

Park Stadium area is a 500-acre neighborhood situated between I-395 and the Anacostia River

that was newly available area for development. This development project spearheaded by the city

government was a unique opportunity to create a new and very large neighborhood to help

accommodate a growing population.

Figure 5

Figure 6

5 Infill development is the process of repurposing, developing and constructing new buildings on under-used land parcels within existing, built up and (often times) dense urban areas that are already largely developed.

51.3%

18.1%

29.6%

13.7%

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

Treatment C1 C2

Nationals Park Stadium Entire City

Percent Change in Mean IncomeNationals Park Stadium

2007-2015

681.9%

8.6% 22.9%74.9%

0.0%

100.0%

200.0%

300.0%

400.0%

500.0%

600.0%

700.0%

Treatment C1 C2

Nationals Park Stadium Entire City

Percent Change in Single FilersNationals Park Stadium

2007-2015

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15

In sum, the three publicly subsidized economic development projects under investigation

tend to show that they significantly increased economic growth measured in terms of household

income and/or residential property value. The Old City 1 neighborhood containing National Park

Stadium unequivocally experienced economic growth after the stadium’s construction both in

terms of household income and residential property value and compared with two different

control groups. The Columbia Heights neighborhood containing the DC USA project also

unequivocally experienced economic growth but only in terms of residential property value. The

model results for the household income variable were mixed when we ran the regression on a

second control groups. It appears the income growth in the treatment group grew faster that the

first control group but not the second control group.

The Chinatown neighborhood containing Gallery Place had the least favorable results. The

initial model regressions indicate that the neighborhood experienced income growth but slower

residential property value growth after the advent of Gallery Place. Neither of these two results

could be substantiated via a second regression because a comparable second control census tract

did not exist for this project. This development may suggest that large scale residential

development in the core CBD area during the study period is not common and may have

impeded robust property value growth. A more typical large scale commercial office building

might have provided more robust property value growth for that unique location in the CBD,

notwithstanding the absence of residential units at the location. Alternatively, Gallery Place

control census tract may have simply experienced more residential development than in the

treatment census tract since residential development in the treatment tract is severely limited by

the preponderance of commercial office buildings in that neighborhood as well as the demand for

new commercial office space in the city.

VI. The Government Investment in The Three Large Economic Development Projects

The shares of the government investment in each project is illustrated in figure7.

Figure 7 Total Cost and The District Contribution to The Three Projects

$663

$47 $83.3

$28

$103 $190.7

$-

$200

$400

$600

$800

National Park Stadium Target/DC USA Gallery Place

($ IN

MIL

LIO

NS)

DC's Contribution to the Three Projects

DC's Share Other Share

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The three projects relied on hundreds of millions of public dollars for construction. The cost of the

National Park Stadium was $691 million, Target DC USA $149.5 million, and Gallery Place was

about $274 million. The District of Columbia government contributed $663 million (95.9 percent)

to the National Park Stadium project, $46.9 million (31 percent) tax-exempt bonds for Target DC

USA and issued $83.3 million in TIF bonds (30.4 percent) to fund the Gallery Place Project.

VII. Conclusions and Implications

In the data analyzed for the three projects, we find that these projects that were public

subsidized enhanced economic growth in the neighborhoods at least in some regards. The

Nationals Park Stadium project unequivocally facilitated higher household incomes and residential

property values in the census tracts that contained the stadium and adjacent census tracts. This

result might stem from the facts that public investment in this project meant that the city

government helped to transform a very large (500 acres), neglected and dismal part of the city into

new neighborhood (centered around the new stadium) which numerous developers quickly

followed with large investments in residential and commercial development with a plethora of new

neighborhood amenities. It appears that the city government remedied a market failure by largely

financing a large-scale public funded development project that appeared too large for most private

sector developers to undertake. In essence, the city government cleared the way for the private

sector to truly transform a large and important part of the city.

At the other end of the spectrum, the city government subsidies to the Gallery Place project

may have distorted the economic development in the city’s Chinatown neighborhood. The area

has some of the city’s most expensive real estate and has always been predominated by commercial

office development. The model results indicate that devoting a large share of the development to

residential usage may have impeded property value growth in the treatment area. Local public

subsidies in this project may have helped to distort economic development on the Gallery Place

foot print. But for the publicly subsidized Gallery Place, that exact location might have also been

developed primarily as a large commercial office building(s) yielding higher property assessment

values. This might be an example of how public funds distort development and land use away

from its highest and best use. Subsidizing residential development in the core CBD, which is

predominated by large commercial office buildings, on some of the city’s most expensive land for

very high-income residents may not have been the best use of public funds. There appears to have

been no market failure that local government intervention needed to address, and the property

which contains Gallery Place would likely have been developed in a timely manner without public

support.

Between the two above extreme effects of how publicly subsidized economic development

can influence neighborhood economic growth is DC USA. This project also unequivocally

enhanced residential property growth values in the census tract near the project. But, the effects in

household income is mixed. A closer examination of the mixed results indicates the project

attracted so many new residents to the area that the housing supply became constrained and likely

new residents may have had to live a few city blocks farther away from the neighborhood

commercial core (near the DC USA project) in order to still live in the trendy Columbia Heights

neighborhood, possibly similar to the Gallery Place experience. Given that the building of the DC

USA project was (arguably) only possible with a relatively small amount of public money from

the District of Columbia government, the market failure argument may also apply in this situation.

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National large-scale retailers tend to not establish a large foot print in densely developed

residential neighborhoods of inner cities in one fell swoop. Columbia Heights was an existing

heavily residential neighborhood prior to DC USA. But the project introduced a large-scale retail

component to the neighborhood that significantly enhanced the attractiveness and vibrancy of the

neighborhood. The public-private partnership shared the risks of this development, which

translated into a broader based economic growth on the neighborhood level after its construction.

Public investment in this project appears to have helped overcome an apparent obstacle for national

retailers to make a large investment in inner city retail development. In a certain regard, this study is simply an economic impact study that uses an experimental

research design to assess the treatment effect (a publicly-subsidized large scale economic

development project) on neighborhood area incomes and home values vis-à-vis a control group of

census tracts in the same neighborhood of the project. But, the use of administrative data and

methodology shows the importance of conducting neighborhood economic studies to assess the

effects of publicly supported economic development projects. This study suggests that in the case

of the District of Columbia, the better cases for public subsidies to private developers involve

overcoming seemingly insurmountable impediments/difficulties (i.e. market failures) that prevent

or substantially impede the private sector from developing appropriately significant projects in a

timely manner. And in the case of the District of Columbia, it may be justifiable to use public

subsidies to expedite residential development for low-income and average income neighborhoods

that are already highly conducive to large scale residential development (unlike Gallery Place).

When public funds are devoted to good and significant projects in good locations at an appropriate

stage in the business cycle, it enhances not only city economic growth but also and more

importantly local neighborhood economic growth and social well-being.

DISCLOSURE

I have no financial arrangements that might give rise to conflicts of interest with respect to the

research reported in this paper.

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